Hari Prasanna Das
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PhD Scholar Department of Electrical Engineering and Computer Sciences University of California, Berkeley Email: hpdas (at) berkeley.edu Office: CREST Lab, 406 Cory Hall ResearchGate |
Brief Biography
I am a third year graduate student in the Department of Electrical Engineering and Computer Sciences at University of California Berkeley (UCB), advised by Prof. Costas J. Spanos. I am also a Graduate Student Researcher for the Singapore-Berkeley Building Efficiency and Sustainability in the Tropics (SinBerBEST) program. My research interests are Machine Learning, Optimization and their application to Smart Buildings and other Energy Systems.
I graduated from Indian Institute of Technology (IIT) Kharagpur with a B.Tech.(Honors) in Electrical Engineering in 2016. During my undergraduate studies, I was fortunate to work with Prof. Ashok Pradhan on several projects. Prior to joining UC Berkeley, I worked for a year at Mentor Graphics, India at Noida as a R&D Engineer.
News
July 2019: Our paper "Personal thermal comfort models with wearable sensors" has been accepted for publication in the Building and Environment Journal.
May 2019: Our paper "Machine Learning empowered Occupancy Sensing for Smart Buildings" has been accepted at Climate Change and AI Workshop, International Conference on Machine Learning (ICML) 2019
April 2019: Our paper "WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition" has been accepted at MULA Workshop, Conference on Computer Vision and Pattern Recognition (CVPR) 2019
January 2019: We are organizing "International Workshop on Applied Machine Learning for Intelligent Energy Systems (AMLIES)", co-located with ACM e-Energy Conference 2019 at Phoenix, Arizona, USA. Please consider submitting your work. [Call for Papers]
December 2018: I am invited to attend the Global Young Scientists Summit (GYSS), 2019 to be held at Singapore in January 2019
November 2018: Our paper "Consensus Adversarial Domain Adaptation" has been accepted at AAAI Conference on Artificial Intelligence 2019
October 2018: New paper on application of Graphical Lasso to Social Game in energy: "Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso"
June 2018: Our paper "BISCUIT: Building Intelligent System CUstomer Investment Tool" has been accepted at International Conference on Applied Energy 2018
January 2018: Our paper "Personal thermal comfort models based on physiological parameters measured by wearable sensors" has been accepted at Windsor Conference 2018
